Bauelemente- und Systementwicklung

Fraunhofer-Institut für Photonische Mikrosysteme

The manufacturing processes currently available for organic semiconductor devices are not suited for mass markets. New manufacturing concepts and procedures are needed in order to produce unique, new devices at marketable costs. COMEDD offers its customers the development and testing of new manufacturing concepts in an industrial-like environment, which includes the characterization of individual process steps and the development of complete production processes. The facility is equipped to allow for the development of manufacturing technologies for both small substrate sizes as well as for larger dimensions for production evaluation. For the production of substrates for large area OLEDs and solar cells, COMEDD can provide the development of photolithography-free processes based on screen printing and laser ablation.

These manufacturing processes make the manufacture of substrates based on innovative transparent conductive oxide materials (TCO) possible. Fraunhofer IPMS has experience in testing customized alternative TCO layers in terms of suitability for organic light emitting diodes and solar cells. The development of this procedure for transparent, non-transparent, rigid as well as flexible substrates is possible.

For the deposition of organic and functional layers, COMEDD utilizes the latest point and line sources for thermal evaporation and organic vapor phase deposition (OVPD). Both the evaporation of metals and sputtering for TCO and metals are available for testing innovative electrode materials. It is possible to apply this procedure to glass substrates, metal substrates as well as transparent and flexible plastic substrates. Unique to COMEDD is the option to evaluate each of the various deposition processes without interrupting the vacuum process. This makes it possible to evaluate materials or components parallel to various manufacturing processes, and to determine their impact on product efficiency and lifespan. This includes the identification of process stability based upon statistical process analysis.